Individual skill
single-cell-rna-qc
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
skills-imported/single-cell-rna-qc/SKILL.md
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- Last checked
- Nov 8, 2026
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- Repository last updated
- Oct 10, 2026
- License
- MIT
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CONNECTORS.mddoc · 1,409 bytesLICENSE.txtdoc · 10,254 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesreferences/scverse_qc_guidelines.mddoc · 7,587 bytesscripts/qc_analysis.pyruns · 9,533 bytesscripts/qc_core.pyruns · 6,675 bytesscripts/qc_plotting.pyruns · 8,501 bytes
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<!-- Provenance: adapted from anthropics/knowledge-work-plugins (Apache-2.0, (c) Anthropic).
Original skill: https://github.com/anthropics/knowledge-work-plugins/tree/main/bio-research/skills/single-cell-rna-qc. Changes for Muse AI: Claude/Cowork product refs -> Muse AI; MCP -> connector; CLAUDE.md -> MUSE.md; ${CLAUDE_PLUGIN_ROOT} -> this skill's directory; /plugin:command refs -> skill refs. -->
# Single-Cell RNA-seq Quality Control
Automated QC workflow for single-cell RNA-seq data following scverse best practices.
## When to Use This Skill
Use when users:
- Request quality control or QC on single-cell RNA-seq data
- Want to filter low-quality cells or assess data quality
- Need QC visualizations or metrics